彭苏萍, 段延娥, 孟召平, 戈连柱. Bayes逐步判别分析法在煤矿瓦斯分区评价中的应用[J]. 煤田地质与勘探, 2003, 31(2): 10-12.
引用本文: 彭苏萍, 段延娥, 孟召平, 戈连柱. Bayes逐步判别分析法在煤矿瓦斯分区评价中的应用[J]. 煤田地质与勘探, 2003, 31(2): 10-12.
PENG Su-ping, DUAN Yan-e, MENG Zhao-ping, GE Lian-zhu. Application on Bayes stepwise discnminant analysis method in partition of mine district[J]. COAL GEOLOGY & EXPLORATION, 2003, 31(2): 10-12.
Citation: PENG Su-ping, DUAN Yan-e, MENG Zhao-ping, GE Lian-zhu. Application on Bayes stepwise discnminant analysis method in partition of mine district[J]. COAL GEOLOGY & EXPLORATION, 2003, 31(2): 10-12.

Bayes逐步判别分析法在煤矿瓦斯分区评价中的应用

Application on Bayes stepwise discnminant analysis method in partition of mine district

  • 摘要: 瓦斯是影响煤矿安全生产的主要因素,本文探索了依据Bayes逐步判别分析法建立评价预测模型,进行矿区瓦斯地质条件分析评价的一般方法,并结合淮南潘三矿的具体数据资料,进行实际应用研究,通过该区瓦斯地质条件评价指标体系的构建和等性块段的划分,实现了该区瓦斯地质条件的分区评价,为制定煤矿开采方案和进行瓦斯防治提供了重要依据。

     

    Abstract: Gas is the main factor effecting mine safety.This paper presented a general method to establish a model based on Bayes stepwise discriminant analysis to establish and forecast gas geological condition. At the same time, on the base of analyzing the data of Pansan mine in Huain-an, through creating the index system of gas geological condition and splitting the same equality blocks, the gas geological conditions are evaluated and forecasted in the mining area.The results provide important information for coal mining planning and gas controlling.

     

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